Sökning: "Stereoscopic camera technology"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Stereoscopic camera technology.
1. ROS-based implementation of a model car with a LiDAR and camera setup
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. LÄS MER
2. Implementation and Evaluation of Gesture-less Mid-Air Interactions on a Stereoscopic Display
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolanSammanfattning : This report presents the work of a master thesis aimed at creating a modern stereoscopic mid-air interaction setup and developing and evaluating gesture-less mid-air interactions on said setup. A mid-air interaction system was created that combined OpenPose’s 2D hand joint detection with the depth data from an Intel depth camera to track a user’s hand position in three dimensions. LÄS MER
3. Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control
Master-uppsats, Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskapSammanfattning : This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time. It details a design that was focused on detecting and following objects in flight as applied to a football in motion. LÄS MER
4. Analys av punktmoln i tre dimensioner
Kandidat-uppsats, Högskolan i Jönköping/JTH, Datateknik och informatikSammanfattning : Syfte: Att ta fram en metod för att hjälpa mindre sågverk att bättre tillvarata mesta möjliga virke från en timmerstock. Metod: En kvantitativ studie där tre iterationer genomförts enligt Design Science. LÄS MER
5. Real-time stereoscopic object tracking on FPGA using neural networks
Master-uppsats, Linköpings universitet/Institutionen för systemteknik; Linköpings universitet/Tekniska högskolanSammanfattning : Real-time tracking and object recognition is a large field with many possible applications. In this thesis we present a technical demo of a stereoscopic tracking system using artificial neural networks (ANN) and also an overview of the entire system, and its core functions. LÄS MER